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Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

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The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing

MIT Newsr/singularity5 min read
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Enabling privacy-preserving AI training on everyday devices

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A faster way to estimate AI power consumption

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MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone

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Teaching AI models to say “I’m not sure”

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Jacob Andreas and Brett McGuire named Edgerton Award winners

MIT News5 min read
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Bringing AI-driven protein-design tools to biologists everywhere

MIT News4 min read
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Q&A: MIT SHASS and the future of education in the age of AI

MIT News4 min read
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Human-machine teaming dives underwater

MIT News5 min read
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A philosophy of work

MIT News
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New technique makes AI models leaner and faster while they’re still learning

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Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano

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Helping data centers deliver higher performance with less hardware

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Working to advance the nuclear renaissance

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Evaluating the ethics of autonomous systems

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Preview tool helps makers visualize 3D-printed objects

MIT News
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MIT researchers use AI to uncover atomic defects in materials

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Seeing sounds

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MIT engineers design proteins by their motion, not just their shape

MIT News
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